William Sun @williamsun2020
Joined February 2018-
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Here's a nice reference architecture for building a multi-data source code assistant🪄: 1. Read in web pages with our web page reader 2. Read in supplementary files with LlamaParse 3. Read in full @github repositories with our github reader 4. Do semantic chunking with our…
Here's a nice reference architecture for building a multi-data source code assistant🪄: 1. Read in web pages with our web page reader 2. Read in supplementary files with LlamaParse 3. Read in full @github repositories with our github reader 4. Do semantic chunking with our… https://t.co/R9HUdbr3N8
Meditron:基于 Llama 完全开源的医学大语言模型 性能优于所有开源模型 Meta 更新了其Meditron开医学大模型 基于Llama 3 的发布,发布了 Llama-3 8B-MeditronV1.0。 除了医学问答,Meditron 还能够分析医学影像,如X光或MRI图像,辅助医生进行更准确的诊断。 这个新版本在 MedQA 和 MedMCQA…
We just released a new medical imaging meta dataset (MedIMeta) consisting of 19 medical imaging datasets and encompassing 54 distinct medical tasks. It also comes with an easy to use python package. Check it out! 📜 Paper: arxiv.org/abs/2404.16000 🐍 Code: github.com/StefanoWoerner…
In this new project, learn how to monitor machine health and build a predictive maintenance solution that can detect abnormal patterns, using a @BrainChip_inc Akida Enablement Platform. docs.edgeimpulse.com/experts/predic… #EdgeAI #MachineHealth
Phi-3 notebook out! Finetune Phi 2x faster and use 50% less VRAM than HF+FA2 with @UnslothAI! Had to Mistral-fy it due to sliding window attention, & fixed the 2048/2047 SWA bug. Also unfused Attention & MLP, so some diff in QLoRA loss but 16bit the same. colab.research.google.com/drive/1NvkBmkH…
Releasing StarCoder2 Instruct! 🚀 Achieves 72% HumanEval score using only self-generated content without any GPT-3.5/4 data. This work demonstrates that self-instruct works already well at the 15B scale without data from proprietary models! Read more: huggingface.co/blog/sc2-instr…
老哥有个非常简短的内容总结了最近提示工程的研究成果。还给出了对应的论文,可以挑自己感兴趣的深入看一下。 并且分了四类分别是推理、工具使用、上下文窗口和更好的写作。 🌟推理:简单的提示技术对许多问题都有效,但解决多步骤推理问题需要更复杂的策略。 [1]…
老哥有个非常简短的内容总结了最近提示工程的研究成果。还给出了对应的论文,可以挑自己感兴趣的深入看一下。 并且分了四类分别是推理、工具使用、上下文窗口和更好的写作。 🌟推理:简单的提示技术对许多问题都有效,但解决多步骤推理问题需要更复杂的策略。 [1]…
For medicine, how do good, mid-sized, general LLMs (which may be partially trained on medical text) compare in performance to models built on medical resources like PubMed? We find that the general-purpose models now do better (Bolton, Xiong, et al. 2024) arxiv.org/abs/2404.15894
Let's build an AI Coding assistant with Llama3 ↓🧵🦙
Excited to announce that the Serving Working Group @kubernetesio has just been created. We will focus on enhance serving workloads on K8s, specifically focusing on hardware-accelerated AI/ML inference. I will be co-chairing along with @SergeyKanzhelev and @CarlosEArango!
ChatGPT的记忆功能现在已经向所有Plus用户推出。 使用的方式很简单,说出你想让它记住的事情,并且告诉他记住就行。 触发之后会有个Memory Updated的标签可以在里面管理已经记住的信息。
ChatGPT的记忆功能现在已经向所有Plus用户推出。 使用的方式很简单,说出你想让它记住的事情,并且告诉他记住就行。 触发之后会有个Memory Updated的标签可以在里面管理已经记住的信息。 https://t.co/yo3bJ0P4jQ
一个基于AI技术进行网页数据爬取的 Python 网页爬虫工具:ScrapeGraphAI ScrapeGraphAI通过使用LLM和图逻辑来创建针对网站、文档和 XML 文件的抓取流程。 用户只需要指定想要提取的信息类型,ScrapeGraphAI 库就能自动执行数据抓取的任务。 github:github.com/VinciGit00/Scr……
Breaking News: A purported 1.5B parameter model called GPT-2 chatbot has been released and everyone is stunned!!
dolphin-2.9-mixtral-8x22b is released! Compute sponsored by @CrusoeEnergy Trained by myself, @LucasAtkins7, @FernandoNetoAi FFT using Laser Scanner to selectively target 50% of the layers. Uncensored models obey! You are responsible for anything you generate with it.
GitHub 发布 Copilot Workspace 预览版本 开发者可以将一个概念或想法输入到 Workspace,系统将自动构建出实现该想法所需的整个开发计划。 开发者现在可以用自然语言进行头脑风暴、规划、构建、测试和运行代码。 同时让开发者对整个过程的每一步都拥有完全控制权。…
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments abs: arxiv.org/abs/2404.18021 Introduces CRISPR-GPT, a tailor-made LLM agent for automated designing of gene-editing experiments. Focuses on breaking experiment design down to a variety of substeps that…
@satyanadella I wrote up my experiences from using it for a week: austinhenley.com/blog/copilotwo…
This AI tool will change the way you do your job Build any AI Agent, teach it your job and connect it to your apps without a single line of code It's like ChatGPT, but built for business
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☹️Google Scholar is a great tool. But it doesn't show how papers are connected with each other. 😀Here's how to fast-track your literature review with a "visual search." And export your papers to Zotero, Mendeley, or EndNote. You can learn this workflow in 15 min:
Llama-3 8b 已经可以在 Colab 上免费微调了! unslothai 推出了 微调 Llama-3 8b 模型的 Colab 方案,可以在免费层 T4 上运行(当然还是推荐 Colab Pro H100 或 A100),Llama3 微调热潮已经袭来! Colab:colab.research.google.com/drive/135ced7o… 项目地址:github.com/unslothai/unsl…
It's been almost a year since I defended my PhD... But I haven't talked much about my Ph.D. research here... I haven't even shared some of my final Ph.D. papers about applying AI to microscopy and pathology... If people are interested, will share some threads about it soon
Personal update: Thrilled to share that I will join the Department of Computer Science and Engineering @TAMU as a tenure-track Assistant Professor in January 2025. Sincere thanks to my greatest advisor, colleagues, friends, and everyone who has supported me during the journey!
Ahahahahahahah We need to do the same with tipping or "my grandmother is dying".
If you rely on GPT-4-based evals like MT-Bench, JSYK this is the exact same model with "Don't be chatty" versus "Be chatty" appended to the preamble...
We trained DBRX using highly optimized versions of our usual open-source packages: * LLM Foundry: github.com/mosaicml/llm-f… * Composer: github.com/mosaicml/compo… * Streaming: github.com/mosaicml/strea… * (new) MegaBlocks: github.com/databricks/meg…
Usual links to get started with DBRX: * Code is on github: github.com/databricks/dbrx * Instruct model is on HF: huggingface.co/databricks/dbr… * Base model is on HF: huggingface.co/databricks/dbr… * Playground to interact with the model: huggingface.co/databricks/dbr…
Quaternion Process Theory In this talk, I expand upon Daniel Kahneman's foundational Dual Process Theory to introduce my approach, which I call the Quaternion Process Theory. This refined cognitive framework proposes four distinct modes of thinking, enhancing our understanding…
We tackle robotic manipulation with real-world imitation learning or sim2real approaches. But what if we merge the two? Introducing CyberDemo: a novel pipeline that leverages simulated human demos to master real-world dexterous manipulation tasks.
⚡️Thrilled to share our new #ICLR2024 paper on #DataInf! We present an efficient algo to attribute outputs by #LLMs + text-to-image #diffusion #AI to training samples. It works particularly well for LoRA tuned models Paper arxiv.org/abs/2310.00902 Code github.com/ykwon0407/Data…
Curious about the impact of individual data points in your model training? Eager to explore various data valuation algorithms? We are excited to present our work “OpenDataVal: a Unified Benchmark for Data Valuation” accepted at #NeurIPS2023 Track on Datasets and Benchmarks🚀 1/n
🧪🤖 Super excited to share Synthemol: a #genAI that not only designs new molecule drugs but tells us how to build each molecule in lab. It designed 6 novel antibiotics that we synthesized in Ukraine and experimentally validated nature.com/articles/s4225… @NatMachIntell 🧵
Create your AI Agent with the comprehensive knowledge of a GitHub repository's codebase For programmers, the landscape is continually shifting with the disruptive advancements in Generative AI. One of the most potent capabilities this technology offers is the ability to…
Major kudos to @SashaKhazatsky & @KarlPertsch, who coordinated the group. But, it was truly a team effort and really wouldn’t have been possible without everyone’s willingness to contribute.
Introducing a new, fully open robotics dataset! - 76k episodes - 564 unique scenes - 100 contributors - 13 labs/institutions - 3 continents droid-dataset.github.io A short 🧵 on the backstory
Robots often make mistakes in long-horizon tasks, which require a lot of data to fix. Our robot can: - incorporate verbal corrections on-the-fly, AND - use those to improve the policy over time No further teleop needed! Paper & Code: yay-robot.github.io
Introducing Yell At Your Robot (YAY Robot!) 🗣️- a fun collaboration b/w @Stanford and @UCBerkeley 🤖 We enable robots to improve on-the-fly from language corrections: robots rapidly adapt in real-time and continuously improve from human verbal feedback. YAY Robot enables…
推荐一个开源项目 MediaCrawler github.com/NanmiCoder/Med… 这个项目可以爬取抖音 快手 小红书 B站 微博的视频,图文,作者信息以及评论。 我一直关注评论区的数据,期望做一些LLM分析工作。所以尝试了一下这个项目。…